45 results about "CTD" patented technology

The invention discloses an XBT-T5 observation data deviation analysis and temperature correction method, and relates to the technical field of ocean observation, and the method comprises the steps: obtaining the original temperature observation data of a target sea area based on an XBT-T5 front-end temperature sensor, calculating the depth, generating a temperature-depth profile, and constructing a temperature-depth database in combination with historical depth observation archive data; the method comprises the following steps: synchronously acquiring temperature and depth data by using a CTD temperature-salinity-depth instrument, and carrying out association pairing with a temperature-depth database to generate an XBT-T5 observation data deviation field under the same spatial-temporal scale; based on generation of an XBT-T5 observation data deviation field under the same spatial-temporal scale, designing a dual-channel adaptive encoder, and constructing a temperature-depth collaborative correction model; and according to the temperature-depth collaborative correction model, coupling the temperature-depth database and generating an XBT-T5 observation data deviation field under the same spatial-temporal scale, thereby realizing XBT-T5 observation data deviation analysis and temperature correction. The method improves the quality and application value of observation data.

The invention discloses an AE-LSTM-based underwater glider CTD sampling abnormal data detection method and system and a storage medium, and belongs to the technical field of ocean exploration, the detection method comprises the steps that an AE-LSTM hybrid model is constructed, and the model comprises a bidirectional long short-term memory network Bi-LSTM encoder and a unidirectional LSTM decoder; preprocessing the original CTD time sequence data, wherein the preprocessing comprises edge auxiliary point expansion and upper-layer ocean data density interpolation; inputting the preprocessed data into the AE-LSTM hybrid model for encoding and decoding, and generating reconstructed data; calculating a reconstruction error of the original data and the reconstruction data; and dynamically setting a threshold value by a POT method based on an extreme value theory EVT, and judging abnormal data according to the reconstruction error. The method has the advantages of being high in detection precision, high in adaptability, low in misjudgment rate, suitable for large-scale automatic processing and the like, the requirement for obtaining high-quality observation data in the complex dynamic marine environment can be effectively met, and reliable data guarantee is provided for marine scientific research, environmental monitoring and the like.

The invention relates to the technical field of offshore wind plant area marine environment monitoring, and discloses an offshore wind plant wide-area environment panoramic sensing method and system, and the method comprises the steps: S1, laying seabed bottom type comprehensive observation equipment and low-altitude meteorological observation equipment in a target area of an offshore wind plant; the seabed bottom type comprehensive observation equipment comprises an acoustic Doppler flow velocity profiler, a tide gauge and a temperature-salinity-depth instrument; the low-altitude meteorological observation equipment comprises a meteorological station and a wind measuring radar; s2, collecting field data through the seabed bottom type comprehensive observation equipment and the low-altitude meteorological observation equipment, collecting remote sensing data through the meteorological remote sensing satellite, performing inversion on the remote sensing data to obtain remote sensing inversion data, and transmitting the field data and the remote sensing inversion data to a software processing platform and the like; according to the method and the system, collaborative acquisition, precise processing and fusion prediction of air-sky-sea multi-dimensional data can be realized, and the comprehensiveness and the accuracy of offshore wind plant environment perception are improved.

The invention provides a parameter self-adaptive adjustment method for a semi-automatic calibration system of a thermohaline depth gauge, and belongs to the technical field of marine survey. The parameter self-adaptive adjustment method comprises the following steps: determining the length of a calibration window by self-adaptive clustering; acquiring original data of the sensor and extracting features; calculating a measurement deviation value; establishing an association data set of the environmental factors and the deviations; constructing and training a multilayer neural network model; dynamically optimizing the calibration window length; verifying and optimizing the parameter adaptive adjustment model; applying an error decomposition function to separate different types of errors; generating compensation parameters by using a deep residual attention network model; and deploying the optimization model into the system to realize real-time adaptive adjustment. According to the method, adaptive data processing and deep learning technologies are combined, the problem that the measurement precision of the temperature-salinity-depth instrument is reduced in a complex and changeable environment is effectively solved through sensor parameter real-time optimization and error accurate compensation, and the reliability and accuracy of ocean observation data are improved.

The invention discloses a multi-layer synchronous micro-plastic observation system and method based on ocean frontal surface tracking. The system comprises a frontal surface tracking ship and a frontal surface crossing observation ship; a Manta trawl net and a sampling pump are installed in the sampling device; an ADCP and a CTD are installed in the latter. The method comprises the following steps: selecting one or more legs on a frontal surface; carrying out micro-plastic tracking navigation along the frontal surface direction of the frontal surface tracking ship; collecting micro-plastic particles on a surface layer and a vertical section; carrying out cross-frontal surface navigation perpendicular to the frontal surface direction of the cross-frontal surface observation ship; calculating a salinity horizontal gradient based on interpolation, calculating horizontal flow velocity divergence, and then performing observation data fitting to obtain a corresponding relation between frontal surface strength and micro-plastic abundance. According to the invention, key data are synchronously acquired through a double-working ship system, so that the acquisition of micro-plastics at the ocean frontal surface and the observation of physical elements are realized, and the influence and action relationship of the physical elements of the ocean frontal surface on the micro-plastics is established.

The invention relates to the technical field of ocean observation, in particular to a CTD observation data anomaly detection and correction method, which comprises an anomaly detection stage and an anomaly correction stage, in the anomaly detection stage, an RS-MLP combined mixed detection model is adopted to carry out anomaly identification on original CTD data; and in the abnormity correction stage, time sequence prediction correction is carried out on the detected abnormal data based on the STL-LSTM model. In the aspect of detection precision, the RS-MLP method integrates domain knowledge and a data driving method, the recall rate is improved while the high precision rate is ensured, and the omission ratio is effectively reduced; in the aspect of correction quality, the STL-LSTM method extracts internal structure features of data through time sequence decomposition, and realizes high-quality anomaly correction in combination with the time sequence modeling capability of LSTM; in the aspect of calculation efficiency, the two-stage design of the RS-MLP not only ensures the detection precision, but also improves the calculation efficiency; the rapid screening of RS reduces the amount of data that needs to be processed by MLP.

This invention relates to a data processing system for CTD (Conductivity, Temperature, Depth) instrument observations, comprising: building a fully domestically developed technology foundation, employing a combination of Spring Boot, MyBatis-Plus, DM database, and Vue3 to achieve domestic adaptation of the front-end, back-end, and database; incrementally accessing and storing raw CTD data files based on the technology foundation, generating dual traceability identifiers of FileInfoID and DataID; performing multi-step sequential processing on the stored data, including zero-error correction, outlier filtering, data smoothing, salt density and acoustic calculation, and standard file generation, with each step's algorithm optimized for the characteristics of domestically produced CTD data; storing raw data, intermediate data, and output data through a multi-level data table design, utilizing traceability identifiers to achieve full-process correlation and traceability, and providing visual display and standardized output. This invention achieves fully domestic processing from data access to output, effectively improving the accuracy and traceability of data processing and ensuring marine data security.

The application relates to the technical field of marine environment monitoring, and discloses a marine environment multi-parameter monitoring buoy, which comprises a base, a CTD sensor arranged at the underwater position of the base and internally integrated with a wave sensor; a support, a wind direction and speed sensor, an air pressure sensor and an air temperature and humidity sensor being mounted at the top of the support; a photovoltaic panel angle adjusting module; a photovoltaic panel frame; a cleaning assembly; and a self-adaptive angle adjusting module. The longitudinal rotating scraper is separated from seawater after rotating, so that the long-term immersion of the scraper in seawater is avoided, the corrosion of the scraper is accelerated, meanwhile, the biological organisms such as barnacles in the seawater cannot be attached and grown on the surface of the scraper, and the service life of the scraper is prolonged. The space posture of the mounting disc is adjusted through the cooperation of the telescopic adjustment, the corresponding push rod is driven to independently extend and retract, the mounting disc always keeps a dynamic horizontal state when the buoy swings with waves, and the requirements of the meteorological observation specification on the wind direction and speed measurement accuracy are met.

The invention discloses a coral reef ecosystem community carbon sequestration evaluation method based on a Lagrange drift trajectory, and belongs to the field of marine ecological environment monitoring and carbon cycle research. The device comprises a drift tracking module, a CTD module, a hydrochemical parameter acquisition module, a depth instrument, a waterproof system and a buoyancy system, all the modules are integrated in the waterproof system, the buoyancy system is connected with the exterior of the waterproof system, and the modules are in signal connection to realize data transmission; according to the method, a Lagrange drift path and a time interval are recorded through the drift tracking module, the CTD module collects the temperature and salinity of a water body, the hydrochemical parameter collection module obtains total alkalinity and dissolved inorganic carbon and calculates the variable quantity of the total alkalinity and the dissolved inorganic carbon, and the depth instrument monitors the average water depth; the COexchange flux is calculated in combination with meteorological data, and then the net calcification rate and the net photosynthesis rate are obtained through a preset formula.

The application discloses a multilayer synchronous micro-plastic observation system and method based on ocean front tracking, which comprises a front tracking ship and a cross-front observation ship; the front tracking ship is provided with a Manta trawl net and a sampling pump; and the cross-front observation ship is provided with an ADCP and a CTD. The method comprises the following steps: selecting one or more voyage sections on the front, performing micro-plastic tracking voyage along the front direction by the front tracking ship, collecting micro-plastic particles in the surface layer and vertical section, performing cross-front voyage perpendicular to the front direction by the cross-front observation ship, measuring key physical parameters of the front intensity, counting the micro-plastic abundance of each voyage section, calculating the salt density horizontal gradient based on interpolation, calculating the horizontal flow velocity divergence, and then performing observation data fitting to obtain the corresponding relationship between the front intensity and the micro-plastic abundance. The application realizes the collection of micro-plastics at the ocean front and the observation of physical elements by synchronously collecting key data through the double-ship system, and establishes the influence and action relationship of the ocean front physical elements on the micro-plastics.

The invention relates to a water mass classification accuracy judgment method, and the method comprises the steps: obtaining target sea area CTD observation data, and carrying out the standardization processing, and obtaining the standardized data; based on a K-means + + clustering algorithm, spatial clustering analysis is carried out on the standardized data with the multi-element features, the optimal cluster number is screened out, and spatial distribution of the water mass is obtained; combining the spatial distribution of the water mass with the multi-element features, and determining the category and spatial distribution of the water mass and the three-dimensional division result of the feature range of each element according to the optimal cluster number; and according to a principal component analysis method, the separation degree and the concentration degree of each type of water mass in a principal component space are detected so as to evaluate the accuracy of a three-dimensional division result. According to the method, three-dimensional water mass classification is realized, the space structure of the water mass in the target sea area can be comprehensively disclosed, the classification accuracy is objectively judged, and the influence of subjective factors on a water mass division result is effectively reduced.

This invention provides a positioning method for the main buoy of an acoustic underwater mooring, relating to the field of acoustic underwater mooring main buoy positioning technology. Specifically, it includes the following steps: using a pressure sensor to measure the pressure at the location of the main buoy, and then calculating the actual depth and settling displacement of the main buoy; indirectly calculating the sound velocity in seawater using a segmented CTD (Cyclic Transmission Device) on the mooring system, and using the sound velocity to calculate the distance between the main buoy and the anchored weight, thereby indirectly calculating the horizontal offset of the main buoy; measuring the seawater current velocity vector in the water area where the main buoy is located using an ADCP (Advanced Directional Phase Array); and installing a current-facing tail fin at the tail of the main buoy to ensure that the main buoy always faces the current, with the opposite direction of the seawater flow being the direction of the main buoy. The technical solution of this invention overcomes the problem of existing technologies being unable to accurately position the main buoy of an acoustic underwater mooring.

The present application relates to the technical field of offshore wind farm area marine environment monitoring, and discloses a kind of offshore wind farm wide area environment panoramic perception method and system, comprising: S1, in the target area of offshore wind farm layout seabed bottom type comprehensive observation equipment and low-altitude meteorological observation equipment;The seabed bottom type comprehensive observation equipment includes acoustic Doppler current profiler, tide gauge, temperature salinity depth instrument, and the low-altitude meteorological observation equipment includes weather station, wind radar;S2, through seabed bottom type comprehensive observation equipment, low-altitude meteorological observation equipment acquisition field data, through meteorological remote sensing satellite acquisition remote sensing data, remote sensing data is inverted to obtain remote sensing inversion data, and field data and remote sensing inversion data are transmitted to software processing platform etc.;The method and system can realize the collaborative collection of space-time-sea multidimensional data, accurate processing and fusion prediction, improve the comprehensiveness and accuracy of offshore wind farm environment perception.

The invention belongs to the technical field of ocean monitoring and sensors, and discloses a measuring method and device for correcting the actual ocean shallow profile temperature. The method comprises the following steps: obtaining the real emissivity of a calm water surface; inputting the wind speed wave height of the seawater in the actual sea condition, the wind speed of the air and the obtained actual emissivity of the calm water surface into a Monte Carlo emissivity correction model, outputting the corrected actual sea condition seawater emissivity, and taking the corrected actual sea condition seawater emissivity as a parameter for measuring the actual water surface temperature by a second IR infrared thermometer; and based on the obtained modified parameters of the real water surface temperature measured by the second IR infrared thermometer, carrying out actual sea surface temperature measurement by arranging thermosensitive chains with different scales. The method is obviously superior to the prior art (the satellite is 0.3-1K, the shipborne infrared is 0.05-0.1 K, and the anchor system CTD is 0.002 K and is larger than or equal to 5cm on average).

The application discloses a temperature time domain alignment and error compensation method of a temperature-salinity-depth instrument, and relates to the technical field of temperature-salinity-depth instrument measurement, and the specific steps are as follows: firstly, the original temperature sequence of the temperature-salinity-depth instrument and the temperature true value sequence of a high-precision reference instrument are synchronously collected, time domain alignment of the original temperature sequence is completed through root mean square error minimization search, based on the aligned temperature sequence, the first-order temperature change rate and the second-order temperature change rate dynamic characteristics are calculated, and a multi-dimensional feature vector is constructed; the actual residual error of the aligned temperature sequence and the temperature true value sequence is taken as a learning target, a random forest nonlinear regression model is trained, a residual error compensation amount is fitted, and a final corrected temperature sequence is output. Compared with the traditional linear model method, the root mean square error of temperature measurement of the model method is significantly reduced, the nonlinear dynamic error under the strong dynamic variable temperature working condition is effectively inhibited, the measurement precision and the robustness of the temperature-salinity-depth instrument are improved, and the application requirements of ocean observation are met.

This invention relates to the field of marine acoustic modeling and underwater acoustic environment forecasting, and in particular to an integrated method for dynamic extraction of Kuroshio frontal features and sound field modeling based on publicly available data. Through the integrated design of dynamic encryption of publicly available data, frontal feature quantization and PINNs modeling, this invention greatly reduces the sound field forecasting error of Kuroshio frontal regions and reduces the cost of CTD measured data.

The present invention provides a temperature-salinity-depth instrument measurement system, which belongs to the field of deep-sea detection technology. The system comprises a plurality of temperature-salinity-depth instruments and a host computer. The temperature-salinity-depth instruments are used to detect the electrical conductivity and temperature of water bodies at different depths in a plurality of ocean regions in a sea area to be measured. The temperature-salinity-depth instruments are provided with a magnetic weight for sinking in water and an energized demagnetization module, which is used to sink to the seabed when the temperature-salinity-depth instruments are deployed and to separate the magnetic weight. The host computer is provided with a deployment allocation module, a data receiving module, a data analysis module and an equipment tracking module. The deployment allocation module is used to determine the deployment position of each temperature-salinity-depth instrument according to ocean parameters of the sea area to be measured; the data receiving module is used to receive detection data collected by each temperature-salinity-depth instrument; the data analysis module is used to calculate the electrical conductivity and temperature model of all positions in the sea area to be measured based on the data collected by all the temperature-salinity-depth instruments; and the equipment tracking module is used to calculate the current position of the temperature-salinity-depth instrument to facilitate recovery of the temperature-salinity-depth instrument by recovery personnel.

The application discloses a modular split-beam biomass detection system and method, comprising a split-beam fish finder hardware unit, a main control unit, a communication unit, a shore-based monitoring terminal, a mounting bracket, a shipborne display terminal and an external sensor assembly. The mounting bracket is provided with an underwater transducer mounting portion and a cable fixing portion. A transducer array, an attitude sensor and a temperature-salinity-depth instrument are arranged based on the same mounting bracket. After being limited by the cable fixing portion, an acoustic cable, an attitude sensor cable and a temperature-salinity-depth instrument cable are connected to the main control unit. The main control unit connects acoustic data, sensor data, communication data and display data through an interface board, a backboard connector and a partition interface portion, and sends biomass resource abundance evaluation data to the shore-based monitoring terminal through the communication unit, and is suitable for shipborne underwater acoustic biomass continuous detection, on-site processing and remote monitoring.

The application discloses a reciprocating CTD profile detection device, which comprises a machine body, a probe module, a first piston arranged in a first cabin, a second piston arranged between the first cabin and a second cabin to isolate the first cabin from the second cabin, wherein the first cabin stores seawater, the second cabin stores a chemical reaction liquid agent capable of generating gas with chemical reaction particles, a first electromagnetic valve, a second electromagnetic valve, a third electromagnetic valve, a first driving assembly arranged to drive the first piston to move in the first cabin, and a control module. The device realizes multiple sinking and floating reciprocating movements, and can repeatedly complete profile detection on a preset sea area multiple times. In the process, the working ship does not need to wait for a long time, and can sail to a next sea area position to release and detect after releasing, thereby saving time cost and improving work efficiency.

The present application relates to the technical field of marine observation and data processing, in particular to a kind of Yellow Sea cold water mass submesoscale structure observation method and its observation system, comprising the following steps: step one: data acquisition;Obtain multiple profile data by the temperature-salinity-depth instrument carried by wave energy profile float, import profile data into observation system, form profile data txt file, as raw data;Step two: feature recognition and three-dimensional reconstruction;Raw data is processed using python program, to obtain temperature-depth-time array and salinity-depth-time array;Feature recognition, analysis and reconstruction of three-dimensional structure of submesoscale phenomenon are carried out jointly, and the observation of the submesoscale structure of the Yellow Sea cold water mass is realized through the reconstructed three-dimensional structure.The present application realizes the dynamic monitoring of the boundary submesoscale process of the Yellow Sea cold water mass by integrating wave energy profile float and satellite remote sensing technology.

The invention relates to the technical field of ocean internal wave monitoring, and discloses an internal wave inversion method and system based on high-frequency tide level data and satellite remote sensing fusion, and the method comprises the steps: S1, collecting SAR satellite remote sensing data, five-minute sampling interval tide level data, and CTD density profile data, and carrying out the preprocessing; s2, performing space-time alignment on SAR satellite remote sensing data, 5-minute sampling interval tide level data and CTD density profile data; s3, variational mode decomposition is adopted, the preprocessed five-minute sampling interval tide level data are decomposed, and internal wave characteristic modes and the like are screened; according to the method and the system, the spatial resolution of high-precision inversion of multiple parameters such as amplitude, period, propagation speed, direction and energy dissipation is improved to ten meters, the time resolution is optimized to be within one day, the amplitude measurement precision is improved to 0.1 meter, and the method and the system are remarkably superior to the internal wave amplitude measurement precision and the time resolution of an existing SAR satellite.

The invention discloses a temperature time domain alignment and error compensation method for a temperature-salinity-depth instrument, and relates to the technical field of temperature-salinity-depth instrument measurement, and the method comprises the following specific steps: firstly, synchronously collecting an original temperature sequence of the temperature-salinity-depth instrument and a temperature truth value sequence of a high-precision reference instrument, and carrying out the minimum search of a root-mean-square error; time domain alignment of the original temperature sequence is completed, dynamic features of a first-order temperature change rate and a second-order temperature change rate are calculated based on the aligned temperature sequence, and a multi-dimensional feature vector is constructed; and training a random forest nonlinear regression model by taking an actual residual error of the aligned temperature sequence and the temperature truth value sequence as a learning target, fitting a residual error compensation amount, and outputting a final corrected temperature sequence. Compared with a traditional linear model method, the model method provided by the invention has the advantages that the root-mean-square error of temperature measurement is obviously reduced, the nonlinear dynamic error under a strong dynamic temperature change working condition is effectively inhibited, the measurement precision and robustness of the thermohaline depth gauge are improved, and the application requirements of ocean observation are met.

The application relates to the technical field of instrument error monitoring, and discloses an environmental monitoring instrument tendency error analysis system which comprises a multidimensional acquisition module and an intelligent analysis module. The thermosalinograph tendency error analysis system obtains the conductivity data, temperature data and water depth data of a measured water body through the multidimensional acquisition module, classifies and forms a data set, the intelligent analysis module analyzes the time difference between different physical parameters, generates a time difference data set, analyzes the fluctuation range of different physical parameters, generates a fluctuation data set, quickly locates the measurement deviation, the intelligent analysis module analyzes the authenticity of each measurement result, generates a credibility index, dynamically evaluates the credibility of single measurement, can adapt to the monitoring requirements of more complex environments, accurately diagnoses the error source, the intelligent analysis module sets a fixed range threshold, evaluates the influence factors leading to the thermosalinograph tendency error and the authenticity of the measurement result, and outputs corresponding management suggestions, and the automatic operation and maintenance has high practicability.

The present application belongs to the field of ocean observation technology, and relates to a CTD circuit board mounting structure, a CTD and an ocean observation system. The support column is connected between the circuit board mounting block one and the circuit board mounting block two, and can rigidly connect the circuit board mounting block one, the circuit board mounting block two and the circuit board together to form a whole, effectively reducing the stress of the circuit board when vibrating and improving the reliability of the circuit board when working. Meanwhile, the rubber shock absorber outside the circuit board mounting block one and / or the circuit board mounting block two can reduce the axial vibration of the CTD circuit board on the CTD circuit board mounting structure. The outer periphery of the circuit board mounting block one and the circuit board mounting block two is simultaneously provided with a buffer sealing ring, which can reduce the circumferential vibration of the CTD circuit board on the CTD circuit board mounting structure. The buffer sealing ring cooperates with the rubber shock absorber to realize all-around shock absorption and simple installation of the circuit board, and long-term reliable observation of ocean hydrological information can be realized.

The invention provides a ship-borne temperature and salt drag chain observation method and system based on adaptive sampling, and the method comprises the steps: collecting the CTD data of a drag chain, the ship-borne ADCP data and satellite remote sensing data, constructing a multi-source data set, carrying out the assimilation processing of the multi-source data set, and generating a real-time environment field; based on the real-time environment field, ocean key area identification is carried out; a control scheme of the shipborne temperature and salt drag chain is generated in a self-adaptive mode based on the ocean key area recognition result; based on the control scheme, the sampling frequency, form and position of the shipborne thermohaline drag chain are dynamically adjusted, and the optimal ocean thermohaline observation result is obtained. According to the technical scheme, active and accurate observation of the sudden ocean process is achieved, and the intelligence and automation level of observation activities is improved.

The utility model discloses a deep sea subsurface buoy system suitable for fine observation of a bottom boundary layer, which comprises a seabed base, a plurality of single-point flow velocity observation units and a main floating body which are sequentially connected from bottom to top, the plurality of single-point flow velocity observation units are arranged between the seabed base and the main floating body along the tensile cable, and each single-point flow velocity observation unit is integrated with a deepwater single-point current meter and a CTD; an acoustic Doppler flow velocity profiler is installed in the main floating body, and the acoustic Doppler flow velocity profiler, an ADV, a CTD and a double-parallel acoustic releaser are integrated on the seabed base. According to the utility model, an observation blind area is eliminated through structure optimization, and a core area (5-10m) of a bottom boundary layer can be brought into an observation range; multiple observation units with vertical spacing can capture full-water-depth ocean current change details, and the data resolution is improved; due to the arrangement of the double parallel acoustic releasers, the equipment reliability is improved, and the risk of recovery failure is effectively reduced; and long-term continuous observation can be realized.

The application discloses a kind of submesoscale vortex observation methods based on cluster AUV data driving, based on multiple autonomous underwater vehicle, and is observed in water surface and underwater networking cooperation, utilizes AUV high mobility and multi-sensor cooperation, carries CTD, chlorophyll and ADCP and other sensors, to carry out multilayer, multi-profile and section autonomous data acquisition in submesoscale vortex in the mode of formation cooperation;During operation, vortex structure observation data and task information are discussed and shared in each AUV formation and between each formation, based on vortex structure characteristic data, each AUV carries out data-driven online path adjustment between vortex determination layer, section and multilayer, realizes the tracking observation of submesoscale vortex high wisdom, high efficiency, and the scheme can greatly promote the three-dimensional, intelligent and flexible of submesoscale observation, to realize the fine monitoring and identification of submesoscale vortex, evolution process tracking provides advanced technical scheme.

This invention discloses a siltation early warning method based on the fusion of towed sonar and multi-source hydrological parameters, belonging to the field of underwater topographic monitoring and engineering safety early warning technology. The method first plans the survey lines for the target area and simultaneously collects multibeam sonar bathymetry data, CTD multi-parameter data, platform attitude data, tow cable status data, positioning and navigation data, and time synchronization information during towed platform operation. Then, it performs time alignment, outlier removal, missing value compensation, and noise suppression on the multi-source data. A sound velocity profile is constructed based on the CTD multi-parameter data, and the sound velocity of the multibeam sonar bathymetry data is corrected. Geometric compensation is also performed by combining platform attitude data, tow cable status data, and positioning and navigation data. Finally, the corrected bathymetry data is... The results are mapped to a preset coordinate system to construct an underwater cross-section model, a grid elevation model, or a bed sediment point cloud model for the current time period. Historical baseline models are retrieved for coordinate unification, overlapping area identification, and adaptive registration. Based on this, elevation difference analysis, slope change analysis, regional thickness statistics, and calculations of sediment thickness, changed area, and sediment volume are performed. Furthermore, short-term trend predictions are made by combining historical observations from multiple time periods with environmental driving factors such as flow velocity, tide level, temperature, salinity, turbidity, and sediment content. Finally, a warning level is generated based on a risk threshold, and warning information is output. This invention improves the comparability of multi-time period towed sonar measurement results and the accuracy of sediment identification, enabling continuous monitoring, quantitative analysis, and proactive warning of bed sedimentation status in target areas. It is applicable to port channels, inland waterways, estuaries, reservoir areas, and near-shore engineering areas.

The invention provides a motion compensation device of CTD equipment, which comprises a motion module, a sensing module and a control module, and the motion module comprises an axial motion unit and a radial motion unit. The sensor module senses the underwater rotation state and the real-time attitude angle of the CTD equipment, and the control module controls the axial movement unit to rotate reversely according to the rotation state of the CTD equipment, so that the axial movement speed of the CTD equipment tends to be zero; and controlling the radial motion unit to operate according to the real-time attitude angle of the CTD equipment, and performing closed-loop adjustment on the real-time attitude angle of the CTD equipment to a specific threshold range. Underwater rotation and inclination of the CTD equipment are adjusted and compensated through the motion compensation device, so that the CTD equipment is in a stable state underwater, the problem of damage caused by continuous rotation of a steel cable is solved, and the problem of measurement misalignment of the CTD equipment caused by inconsistent theoretical lowering depth and actual depth of the CTD equipment is solved.

The application discloses a kind of intelligent sailing type temperature-salinity-depth profile measurement systems, including deck unit, intelligent winch and tow body, deck unit is set in cabin, deck unit is electrically connected with intelligent winch and tow body respectively, the operation of control intelligent winch and tow body, real-time display, store and measure data and system state;Intelligent winch is installed on the stern deck of ship, for storing and paying off tow cable;Tow body is connected with intelligent winch through tow cable, and temperature-salinity-depth sensor and altimeter are installed in tow body, real-time measurement seawater temperature, conductivity and the height of tow body from seabed;Deck unit controls intelligent winch to pay off tow cable, and places tow body into seawater to carry out temperature-salinity profile automatic measurement, in the sailing range of ship, deck unit repeatedly controls intelligent winch to pay off cable and pay off cable quickly, realizes to carry out large-scale fast profile investigation to ocean, can be continuously monitored, need not fixed berth, and can be recycled, easy to operate.